| A dynamic model selection strategy for support vector machine classifiers MN Kapp, R Sabourin, P Maupin Applied Soft Computing 12 (8), 2550-2565, 2012 | 83 | 2012 |
| A multiple feature vector framework for forest species recognition PR Cavalin, MN Kapp, J Martins, LES Oliveira Proceedings of the 28th annual ACM symposium on applied computing, 16-20, 2013 | 45 | 2013 |
| An empirical study on diversity measures and margin theory for ensembles of classifiers MN Kapp, R Sabourin, P Maupin 2007 10th International Conference on Information Fusion, 1-8, 2007 | 42 | 2007 |
| A PSO-based framework for dynamic SVM model selection MN Kapp, R Sabourin, P Maupin Proceedings of the 11th Annual conference on Genetic and evolutionary …, 2009 | 29 | 2009 |
| Handwritten brazilian month recognition: An analysis of two nn architectures and a rejection mechanism MN Kapp, CODA Freitas, R Sabourin Ninth International Workshop on Frontiers in Handwriting Recognition, 209-214, 2004 | 28 | 2004 |
| Methodology for the design of NN-based month-word recognizers written on Brazilian bank checks MN Kapp, COA Freitas, R Sabourin Image and Vision Computing 25 (1), 40-49, 2007 | 26 | 2007 |
| Adaptive incremental learning with an ensemble of support vector machines MN Kapp, R Sabourin, P Maupin 2010 20th International Conference on Pattern Recognition, 4048-4051, 2010 | 15 | 2010 |
| Automatic forest species recognition based on multiple feature sets MN Kapp, R Bloot, PR Cavalin, LES Oliveira 2014 International Joint Conference on Neural Networks (IJCNN), 1296-1303, 2014 | 13 | 2014 |
| Handwritten recognition with multiple classifiers for restricted lexicon JJ De Oliveira, MN Kapp, COA Freitas, JM de Carvalho, R Sabourin Proceedings. 17th Brazilian Symposium on Computer Graphics and Image …, 2004 | 13 | 2004 |
| A dynamic optimization approach for adaptive incremental learning MN Kapp, R Sabourin, P Maupin International journal of intelligent systems 26 (11), 1101-1124, 2011 | 12 | 2011 |
| Handwritten month word recognition using multiple classifiers JJ Oliveira Jr, MN Kapp, COA Freitas, JM Carvalho, R Sabourin XVII Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI …, 2004 | 10 | 2004 |
| An adaptive multi-level framework for forest species recognition PR Cavalin, MN Kapp, LES Oliveira 2015 Brazilian Conference on Intelligent Systems (BRACIS), 92-97, 2015 | 6 | 2015 |
| Evaluating the conventional and class-modular architectures feedforward neural network for handwritten word recognition MN Kapp, C Freitas, JC Nievola, R Sabourin 16th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI …, 2003 | 5 | 2003 |
| Reconhecimento de Palavras Manuscritas Utilizando Redes Neurais Artificiais MN Kapp Pontifıcia Universidade Católica do Paraná, M. Sc Thesis, 2004 | 4 | 2004 |
| Gestão da cadeia de suprimentos no setor público brasileiro: estado da arte EMD Santos, MS dos Santos, MN Kapp, GB de Oliveira Revista Produção Online 21 (3), 726-745, 2021 | 3 | 2021 |
| Implementação do Módulo Web Baseado na Arquitetura Cliente-Servidor para o Aplicativo Móvel Educacional e Open-Source Sem! o GB de Oliveira, JM de Abreu, JN Maciel, MN Kapp Anais do XVI Congresso Latino-Americano de Software Livre e Tecnologias …, 2019 | 2 | 2019 |
| Multi-scale texture recognition systems with reduced cost: A case study on forest species PR Cavalin, MN Kapp, LS Oliveira 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2017 | 2 | 2017 |
| SUPPLY CHAIN MANAGEMENT IN BRAZILIAN PUBLIC SECTOR: STATE OF THE ART/GESTAO DA CADEIA DE SUPRIMENTOS NO SETOR PUBLICO BRASILEIRO: ESTADO DA ARTE. EMD Santos, MS dos Santos, MN Kapp, GB de Oliveira Producao Online 21 (3), 726-746, 2021 | | 2021 |
| Supply chain management in brazilian public sector: state of the art EMD Santos, MS Santos, MN Kapp, GB Oliveira | | 2021 |
| Soluções Móveis para Automatizar o Acompanhamento do Tratamento de Pacientes com a Doença de Parkinson JN Maciel, LT Wotrich, MN Kapp, FP do Nascimento, SP de Oliveira Journal of Health Informatics 12, 2020 | | 2020 |
